TensorFlow

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Custom Models, Layers, and Loss Functions with TensorFlow (Coursera) Coursera
DeepLearning.AI

Custom Models, Layers, and Loss Functions with TensorFlow (Coursera)

Dive into the world of advanced TensorFlow techniques with 'Custom Models, Layers, and Loss Functions with TensorFlow'. This course will equip you with the skills to build custom machine learning models, craft unique layers, and develop tailored loss functions. Whether you're a data scientist aiming to enhance your neural network's capabilities or an aspiring developer looking to delve deeper into TensorFlow's potential, this course offers a pathway to mastering complex model architectures.

Nov 2nd 2026
5-12 Weeks
Generative Deep Learning with TensorFlow (Coursera) Coursera
DeepLearning.AI

Generative Deep Learning with TensorFlow (Coursera)

Dive into the world of generative models with this comprehensive online course on Generative Deep Learning with TensorFlow. Learn neural style transfer, build AutoEncoders, explore Variational AutoEncoders (VAEs), and create your own Generative Adversarial Networks (GANs). Perfect for data scientists, AI enthusiasts, and developers looking to generate new content and images using deep learning.

Nov 2nd 2026
4 Weeks
Advanced Learning Algorithms (Coursera) Coursera
Stanford University,DeepLearning.AI

Advanced Learning Algorithms (Coursera)

Expand your knowledge in machine learning by diving into 'Advanced Learning Algorithms'. This course will guide you through building and training complex neural networks using TensorFlow for effective multi-class classification tasks. You'll also learn best practices for developing machine learning models that generalize well to real-world data and scenarios, as well as explore decision trees and ensemble methods like random forests and boosted trees.

Nov 2nd 2026
4 Weeks
Machine Learning Capstone (Coursera) Coursera
IBM

Machine Learning Capstone (Coursera)

Embark on a journey into advanced machine learning techniques with our Machine Learning Capstone course. This hands-on program will guide you through building sophisticated recommendation systems using cutting-edge Python tools such as Pandas, scikit-learn, Tensorflow/Keras. Whether you're looking to enhance your data analysis skills or aiming for a career in AI, this course offers practical experience and real-world application.

Nov 2nd 2026
5-12 Weeks
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera) Coursera
DeepLearning.AI

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (Coursera)

Unlock the secrets of achieving high-performance deep learning models by enrolling in 'Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization'. This course, available on Coursera, will guide you through the intricacies of hyperparameter optimization, regularization strategies, and advanced optimization methods. By the end of this course, you'll have a clear understanding of what drives deep learning performance and be equipped with the skills to systematically achieve excellent results.

Oct 26th 2026
3 Weeks
Getting started with TensorFlow 2 (Coursera) Coursera
Imperial College London

Getting started with TensorFlow 2 (Coursera)

Embark on a journey into the world of deep learning with our 'Getting Started with TensorFlow 2' course. This course is designed for beginners and intermediate learners who want to master the art of developing deep learning models using one of the most powerful machine learning frameworks available today. From constructing your first model to implementing advanced techniques, this course covers it all.

Oct 26th 2026
5-12 Weeks
Data Pipelines with TensorFlow Data Services (Coursera) Coursera
DeepLearning.AI

Data Pipelines with TensorFlow Data Services (Coursera)

Dive into the world beyond modeling with 'Data Pipelines with TensorFlow Data Services.' This course will equip you with the skills to deploy machine learning models effectively and optimize your data pipelines for superior performance. From understanding complex deployment scenarios to leveraging data more efficiently in training models, this specialization is designed to bridge the gap between theory and application.

Oct 26th 2026
4 Weeks